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            <h1>info.debatty.jinu.Case</h1>
            <p>2017-06-29 16:00:47</p>
            <p>spark.kmedoids.eval.synthetic.TestCase : -r Dropbox/eurecom-cluster/results/ -d gaussian_3_12_100000 -s 200000000 -s 400000000 -s 600000000 - -s 800000000 -s 100000000 -s 120000000</p>
            <p>Iterations: 20</p>
            <p>Tests:</p>
            <ul>
                                    <li>spark.kmedoids.eval.synthetic.ClaransTest</li>
                                    <li>spark.kmedoids.eval.synthetic.HeuristicTest</li>
                                    <li>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</li>
                            </ul>

            <h2>System</h2>
            <p>Hostname: spark-submit0-100169-prod</p>
            <p>Processors (cores): 32</p>
            <p>Memory (MB): 12743</p>

            <h2>Results</h2>
                            <canvas id="chart_0" width="640" height="480"></canvas>
            
            <canvas id="chart_time" width="640" height="480"></canvas>

            <p class="hidden-print">
                <a class="" data-toggle="collapse" href="#results-table">
                    Show/hide results table
                </a>
            </p>

            <table class="table table-condensed collapse in" id="results-table">
                <tr>
                    <th>Test</th>
                    <th>Parameter value</th>
                                            <td>r0</td>
                                        <th>time (ms)</th>
                    <th></th>
                </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>6.0E8</td>
                                                    <td>1114.5050732339755</td>
                                                <td>22841</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>6.0E8</td>
                                                    <td>1109.574399732997</td>
                                                <td>20888</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>6.0E8</td>
                                                    <td>1125.2762444803377</td>
                                                <td>21835</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>6.0E8</td>
                                                    <td>1123.508827264379</td>
                                                <td>22358</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>6.0E8</td>
                                                    <td>1108.1361413764644</td>
                                                <td>21679</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>6.0E8</td>
                                                    <td>1106.5867092167289</td>
                                                <td>21833</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>6.0E8</td>
                                                    <td>1115.9145711964593</td>
                                                <td>21955</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>6.0E8</td>
                                                    <td>1116.1877679058125</td>
                                                <td>21899</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>6.0E8</td>
                                                    <td>1113.131210926824</td>
                                                <td>21596</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>6.0E8</td>
                                                    <td>1119.9464634930496</td>
                                                <td>21678</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>6.0E8</td>
                                                    <td>1094.4098453342613</td>
                                                <td>23101</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>6.0E8</td>
                                                    <td>1084.2428308060944</td>
                                                <td>23993</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>6.0E8</td>
                                                    <td>1145.8981454161437</td>
                                                <td>22472</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>6.0E8</td>
                                                    <td>1127.829187889118</td>
                                                <td>23918</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>6.0E8</td>
                                                    <td>1126.7975781858788</td>
                                                <td>24534</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>6.0E8</td>
                                                    <td>1107.2321670522824</td>
                                                <td>15904</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>6.0E8</td>
                                                    <td>1137.851017324137</td>
                                                <td>16075</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>6.0E8</td>
                                                    <td>1103.9692374388685</td>
                                                <td>16701</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>6.0E8</td>
                                                    <td>1107.3210230824964</td>
                                                <td>15765</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>6.0E8</td>
                                                    <td>1125.7636363735771</td>
                                                <td>16015</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>4.0E8</td>
                                                    <td>1121.6675081012772</td>
                                                <td>18464</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>4.0E8</td>
                                                    <td>1115.114520051712</td>
                                                <td>17921</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>4.0E8</td>
                                                    <td>1129.0102303800306</td>
                                                <td>20005</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>4.0E8</td>
                                                    <td>1125.7078781377131</td>
                                                <td>16542</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>4.0E8</td>
                                                    <td>1105.6343212254872</td>
                                                <td>16503</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>4.0E8</td>
                                                    <td>1127.7856720860243</td>
                                                <td>16629</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>4.0E8</td>
                                                    <td>1129.1356759095074</td>
                                                <td>15128</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>4.0E8</td>
                                                    <td>1106.2734729726403</td>
                                                <td>17280</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>4.0E8</td>
                                                    <td>1097.6999163894798</td>
                                                <td>16745</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>4.0E8</td>
                                                    <td>1106.27699802332</td>
                                                <td>15684</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>4.0E8</td>
                                                    <td>1101.083268246685</td>
                                                <td>17901</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>4.0E8</td>
                                                    <td>1099.58680097403</td>
                                                <td>17876</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>4.0E8</td>
                                                    <td>1113.0687283215705</td>
                                                <td>19772</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>4.0E8</td>
                                                    <td>1087.7292106152495</td>
                                                <td>17676</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>4.0E8</td>
                                                    <td>1133.8009491215266</td>
                                                <td>17004</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>4.0E8</td>
                                                    <td>1144.1520874875955</td>
                                                <td>12678</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>4.0E8</td>
                                                    <td>1120.0315390327942</td>
                                                <td>12498</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>4.0E8</td>
                                                    <td>1122.933762711108</td>
                                                <td>12316</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>4.0E8</td>
                                                    <td>1108.9640712113928</td>
                                                <td>12271</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>4.0E8</td>
                                                    <td>1098.9132614166883</td>
                                                <td>11991</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>1.0E8</td>
                                                    <td>1053.4534606004104</td>
                                                <td>9241</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>1.0E8</td>
                                                    <td>1054.9478933592102</td>
                                                <td>9299</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>1.0E8</td>
                                                    <td>1041.8164660710677</td>
                                                <td>9555</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>1.0E8</td>
                                                    <td>1078.9659504410502</td>
                                                <td>9258</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>1.0E8</td>
                                                    <td>1059.529862943185</td>
                                                <td>8414</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>1.0E8</td>
                                                    <td>1053.4704874726124</td>
                                                <td>9191</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>1.0E8</td>
                                                    <td>1093.52781868082</td>
                                                <td>8704</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>1.0E8</td>
                                                    <td>1069.5357281437714</td>
                                                <td>8887</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>1.0E8</td>
                                                    <td>1089.7938434738664</td>
                                                <td>9143</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>1.0E8</td>
                                                    <td>1056.3846491846741</td>
                                                <td>9294</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>1.0E8</td>
                                                    <td>1084.8227307246434</td>
                                                <td>9363</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>1.0E8</td>
                                                    <td>1037.533218160357</td>
                                                <td>7975</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>1.0E8</td>
                                                    <td>1052.011297420014</td>
                                                <td>9163</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>1.0E8</td>
                                                    <td>1090.6004592583815</td>
                                                <td>9023</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>1.0E8</td>
                                                    <td>1044.106543957186</td>
                                                <td>6120</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>1.0E8</td>
                                                    <td>1037.515901650898</td>
                                                <td>6217</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>1.0E8</td>
                                                    <td>1070.0195810039572</td>
                                                <td>6405</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>1.0E8</td>
                                                    <td>1056.2869907622044</td>
                                                <td>6746</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>1.0E8</td>
                                                    <td>1087.5851984502974</td>
                                                <td>6617</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>1.0E8</td>
                                                    <td>1071.2760002202335</td>
                                                <td>6323</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>1.2E8</td>
                                                    <td>1041.7852277415411</td>
                                                <td>10060</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>1.2E8</td>
                                                    <td>1044.434604031801</td>
                                                <td>10399</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>1.2E8</td>
                                                    <td>1061.6627796831046</td>
                                                <td>10556</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>1.2E8</td>
                                                    <td>1076.4757755645853</td>
                                                <td>8920</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>1.2E8</td>
                                                    <td>1065.4003815389997</td>
                                                <td>9456</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>1.2E8</td>
                                                    <td>1016.5142225131287</td>
                                                <td>9131</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>1.2E8</td>
                                                    <td>1074.27016246139</td>
                                                <td>9378</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>1.2E8</td>
                                                    <td>1063.782619976785</td>
                                                <td>10277</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>1.2E8</td>
                                                    <td>1047.5286500544723</td>
                                                <td>10567</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>1.2E8</td>
                                                    <td>1055.4245258779292</td>
                                                <td>10552</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>1.2E8</td>
                                                    <td>1051.303634230494</td>
                                                <td>9294</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>1.2E8</td>
                                                    <td>1086.352112303415</td>
                                                <td>8944</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>1.2E8</td>
                                                    <td>1057.3453486217918</td>
                                                <td>9343</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>1.2E8</td>
                                                    <td>1077.3569678907938</td>
                                                <td>10302</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>1.2E8</td>
                                                    <td>1066.4723660841144</td>
                                                <td>6509</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>1.2E8</td>
                                                    <td>1054.5714111228328</td>
                                                <td>6637</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>1.2E8</td>
                                                    <td>1081.8334135046457</td>
                                                <td>6696</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>1.2E8</td>
                                                    <td>1077.701363264559</td>
                                                <td>6893</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>1.2E8</td>
                                                    <td>1073.6373866606016</td>
                                                <td>7094</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>1.2E8</td>
                                                    <td>1078.4502423436916</td>
                                                <td>6644</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>4.0E8</td>
                                                    <td>1078.6934345547297</td>
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                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>4.0E8</td>
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                        <td>4.0E8</td>
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                        <td>4.0E8</td>
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                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>4.0E8</td>
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                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>4.0E8</td>
                                                    <td>1106.966052187637</td>
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                        <td>4.0E8</td>
                                                    <td>1090.6178096131935</td>
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                        <td>4.0E8</td>
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                                                    <td>1129.3432284019852</td>
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                                                    <td>1132.6635596130852</td>
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                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
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                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
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                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
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                                                    <td>1074.7380721185768</td>
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                                                    <td>1055.4765499741125</td>
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                                                    <td>1048.719858504699</td>
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                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>8.0E8</td>
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                        <td>2.0E8</td>
                                                    <td>1065.5417432280324</td>
                                                <td>11919</td>
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                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
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                                                    <td>1091.220995952155</td>
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                                                    <td>1078.2202584028005</td>
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                        <td>2.0E8</td>
                                                    <td>1078.024976908511</td>
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                        <td>2.0E8</td>
                                                    <td>1095.994763168901</td>
                                                <td>11381</td>
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                        <td>2.0E8</td>
                                                    <td>1069.625273491525</td>
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                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>2.0E8</td>
                                                    <td>1092.8919453543276</td>
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                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>2.0E8</td>
                                                    <td>1112.3043432612992</td>
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                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>2.0E8</td>
                                                    <td>1089.0024580506242</td>
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                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>2.0E8</td>
                                                    <td>1086.6954976775328</td>
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                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>2.0E8</td>
                                                    <td>1079.1316386938252</td>
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                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>2.0E8</td>
                                                    <td>1098.743805358372</td>
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                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>2.0E8</td>
                                                    <td>1060.6762242422212</td>
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                                                    <td>1102.2228394335227</td>
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                                                    <td>1085.021497861987</td>
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                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>2.0E8</td>
                                                    <td>1074.4117259233872</td>
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                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>2.0E8</td>
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                        <td>2.0E8</td>
                                                    <td>1089.2851688271508</td>
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                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>2.0E8</td>
                                                    <td>1075.5535969895882</td>
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                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>8.0E8</td>
                                                    <td>1129.5170519894086</td>
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                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>8.0E8</td>
                                                    <td>1127.9208536523056</td>
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                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>8.0E8</td>
                                                    <td>1111.899514542215</td>
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                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>8.0E8</td>
                                                    <td>1119.9772068705995</td>
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                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>8.0E8</td>
                                                    <td>1121.3043354009037</td>
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                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>8.0E8</td>
                                                    <td>1128.5165088660783</td>
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                        <td>8.0E8</td>
                                                    <td>1066.5090049417797</td>
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                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>8.0E8</td>
                                                    <td>1122.3900365756053</td>
                                                <td>26720</td>
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                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>8.0E8</td>
                                                    <td>1141.7755300907625</td>
                                                <td>30162</td>
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                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>8.0E8</td>
                                                    <td>1123.6863747430275</td>
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                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>8.0E8</td>
                                                    <td>1118.1232793655176</td>
                                                <td>30514</td>
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                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>8.0E8</td>
                                                    <td>1126.9415720209856</td>
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                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>8.0E8</td>
                                                    <td>1122.292568124429</td>
                                                <td>26143</td>
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                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>8.0E8</td>
                                                    <td>1139.4772155366327</td>
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                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>8.0E8</td>
                                                    <td>1127.503258384432</td>
                                                <td>18560</td>
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                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>8.0E8</td>
                                                    <td>1110.7272962345976</td>
                                                <td>19727</td>
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                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>8.0E8</td>
                                                    <td>1131.7176108166734</td>
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                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>8.0E8</td>
                                                    <td>1115.2732141860176</td>
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                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>8.0E8</td>
                                                    <td>1107.8112457218322</td>
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                        <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                        <td>8.0E8</td>
                                                    <td>1115.951928136346</td>
                                                <td>19882</td>
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                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
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                                                    <td>1102.4387281242027</td>
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                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>4.0E8</td>
                                                    <td>1107.1006734382725</td>
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                        <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                        <td>4.0E8</td>
                                                    <td>1102.3608066096026</td>
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                                                    <td>1076.1737288401575</td>
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                                                    <td>1103.0417764444014</td>
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                                                    <td>1106.955491110618</td>
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                                                    <td>1129.2622697487293</td>
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                                                    <td>1083.0778250037567</td>
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                                                    <td>1132.7638951239928</td>
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                                                    <td>1107.9078549318638</td>
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                                                    <td>1111.0106427262936</td>
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                                                    <td>1096.435401353715</td>
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                                                    <td>1093.6686975822934</td>
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                                                    <td>1038.3389600561559</td>
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                                                    <td>1048.4723341800502</td>
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                                                    <td>1105.2439292141232</td>
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                                                    <td>1081.6157005518505</td>
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                                                    <td>1062.9464957291548</td>
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                                                    <td>1044.898454241913</td>
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                                                    <td>1104.493037415725</td>
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                                                    <td>1051.422265733093</td>
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                                                    <td>1069.5801968500605</td>
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                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
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                                                    <td>1078.952813767715</td>
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                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
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                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>1.2E8</td>
                                                    <td>1045.3760163051074</td>
                                                <td>10606</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>1.2E8</td>
                                                    <td>1105.2481549333045</td>
                                                <td>9463</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>1.2E8</td>
                                                    <td>1061.0236603443127</td>
                                                <td>10134</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>1.2E8</td>
                                                    <td>1051.2241979871526</td>
                                                <td>9901</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>1.2E8</td>
                                                    <td>1058.3566195887893</td>
                                                <td>7004</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>1.2E8</td>
                                                    <td>1075.5394501200944</td>
                                                <td>6872</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>1.2E8</td>
                                                    <td>993.066314744493</td>
                                                <td>6778</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>1.2E8</td>
                                                    <td>1060.3311672873774</td>
                                                <td>6657</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>1.2E8</td>
                                                    <td>1080.2481037365205</td>
                                                <td>6536</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                        <td>1.2E8</td>
                                                    <td>1038.205307571079</td>
                                                <td>6751</td>
                        <td></td>
                    </tr>
                            </table>

            <p class="hidden-print">
                <a class="" data-toggle="collapse" href="#confidence">
                    Show/hide confidence intervals
                </a>
            </p>
            <div class="collapse in" id="confidence">
                <h2>Confidence intervals</h2>
                <table class='table table-condensed'>
                    <tr>
                        <th>Test</th>
                        <th>Parameter value</th>
                        <th></th>
                                                    <td>r0</td>
                                                <th>time (ms)</th>
                    </tr>

                                            <tr>
                            <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                            <td>6.0E8</td>
                            <td>mean</td>
                                                            <td>1115.7041038864943</td>
                                                        <td>20852.0</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                            <td>6.0E8</td>
                            <td>std dev</td>
                                                            <td>14.240978748524068</td>
                                                        <td>2962.0387360202108</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                            <td>6.0E8</td>
                            <td>low</td>
                                                            <td>1109.0391206706652</td>
                                                        <td>19465.72319916869</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                            <td>6.0E8</td>
                            <td>high</td>
                                                            <td>1122.3690871023234</td>
                                                        <td>22238.27680083131</td>
                        </tr>
                                            <tr>
                            <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                            <td>4.0E8</td>
                            <td>mean</td>
                                                            <td>1114.7284936207916</td>
                                                        <td>16144.199999999995</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                            <td>4.0E8</td>
                            <td>std dev</td>
                                                            <td>14.549274971553732</td>
                                                        <td>2527.834388312816</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                            <td>4.0E8</td>
                            <td>low</td>
                                                            <td>1107.9192233311396</td>
                                                        <td>14961.13708922591</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                            <td>4.0E8</td>
                            <td>high</td>
                                                            <td>1121.5377639104436</td>
                                                        <td>17327.262910774083</td>
                        </tr>
                                            <tr>
                            <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                            <td>1.0E8</td>
                            <td>mean</td>
                                                            <td>1064.159204098942</td>
                                                        <td>8246.900000000003</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                            <td>1.0E8</td>
                            <td>std dev</td>
                                                            <td>18.428998714561754</td>
                                                        <td>1291.1554556002613</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                            <td>1.0E8</td>
                            <td>low</td>
                                                            <td>1055.534167204633</td>
                                                        <td>7642.620645851404</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                            <td>1.0E8</td>
                            <td>high</td>
                                                            <td>1072.784240993251</td>
                                                        <td>8851.179354148602</td>
                        </tr>
                                            <tr>
                            <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                            <td>1.2E8</td>
                            <td>mean</td>
                                                            <td>1062.6151597735338</td>
                                                        <td>8882.6</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                            <td>1.2E8</td>
                            <td>std dev</td>
                                                            <td>17.001928226078476</td>
                                                        <td>1534.1429426298755</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                            <td>1.2E8</td>
                            <td>low</td>
                                                            <td>1054.6580124268116</td>
                                                        <td>8164.599001341769</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                            <td>1.2E8</td>
                            <td>high</td>
                                                            <td>1070.572307120256</td>
                                                        <td>9600.600998658232</td>
                        </tr>
                                            <tr>
                            <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                            <td>4.0E8</td>
                            <td>mean</td>
                                                            <td>1105.548111505794</td>
                                                        <td>15957.700000000003</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                            <td>4.0E8</td>
                            <td>std dev</td>
                                                            <td>19.50505861945344</td>
                                                        <td>2740.7310799550523</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                            <td>4.0E8</td>
                            <td>low</td>
                                                            <td>1096.4194630738248</td>
                                                        <td>14674.99837045821</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                            <td>4.0E8</td>
                            <td>high</td>
                                                            <td>1114.676759937763</td>
                                                        <td>17240.401629541797</td>
                        </tr>
                                            <tr>
                            <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                            <td>1.0E8</td>
                            <td>mean</td>
                                                            <td>1051.7811281934626</td>
                                                        <td>8235.95</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                            <td>1.0E8</td>
                            <td>std dev</td>
                                                            <td>20.901698869502756</td>
                                                        <td>1379.2542407135518</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                            <td>1.0E8</td>
                            <td>low</td>
                                                            <td>1041.9988320038842</td>
                                                        <td>7590.439145230289</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                            <td>1.0E8</td>
                            <td>high</td>
                                                            <td>1061.563424383041</td>
                                                        <td>8881.460854769712</td>
                        </tr>
                                            <tr>
                            <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                            <td>6.0E8</td>
                            <td>mean</td>
                                                            <td>1129.4330293041742</td>
                                                        <td>20936.45</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                            <td>6.0E8</td>
                            <td>std dev</td>
                                                            <td>10.87750005876197</td>
                                                        <td>3103.763156912996</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                            <td>6.0E8</td>
                            <td>low</td>
                                                            <td>1124.34220257084</td>
                                                        <td>19483.844128449346</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                            <td>6.0E8</td>
                            <td>high</td>
                                                            <td>1134.5238560375083</td>
                                                        <td>22389.055871550656</td>
                        </tr>
                                            <tr>
                            <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                            <td>2.0E8</td>
                            <td>mean</td>
                                                            <td>1071.864754313532</td>
                                                        <td>11040.45</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                            <td>2.0E8</td>
                            <td>std dev</td>
                                                            <td>15.47567421787331</td>
                                                        <td>2092.52047653944</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                            <td>2.0E8</td>
                            <td>low</td>
                                                            <td>1064.621915830506</td>
                                                        <td>10061.120271250864</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                            <td>2.0E8</td>
                            <td>high</td>
                                                            <td>1079.1075927965583</td>
                                                        <td>12019.779728749138</td>
                        </tr>
                                            <tr>
                            <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                            <td>8.0E8</td>
                            <td>mean</td>
                                                            <td>1114.7843530566822</td>
                                                        <td>25957.5</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                            <td>8.0E8</td>
                            <td>std dev</td>
                                                            <td>10.857289056294064</td>
                                                        <td>3932.4413536631414</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                            <td>8.0E8</td>
                            <td>low</td>
                                                            <td>1109.7029853636714</td>
                                                        <td>24117.060794084195</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                            <td>8.0E8</td>
                            <td>high</td>
                                                            <td>1119.865720749693</td>
                                                        <td>27797.939205915805</td>
                        </tr>
                                            <tr>
                            <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                            <td>6.0E8</td>
                            <td>mean</td>
                                                            <td>1113.2689701188383</td>
                                                        <td>20945.55</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                            <td>6.0E8</td>
                            <td>std dev</td>
                                                            <td>17.20143853046467</td>
                                                        <td>3364.6696791810027</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                            <td>6.0E8</td>
                            <td>low</td>
                                                            <td>1105.2184490754341</td>
                                                        <td>19370.836117298997</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                            <td>6.0E8</td>
                            <td>high</td>
                                                            <td>1121.3194911622425</td>
                                                        <td>22520.263882701</td>
                        </tr>
                                            <tr>
                            <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                            <td>1.2E8</td>
                            <td>mean</td>
                                                            <td>1059.755100945817</td>
                                                        <td>8814.700000000003</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                            <td>1.2E8</td>
                            <td>std dev</td>
                                                            <td>22.37356221498323</td>
                                                        <td>1377.8272789164537</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                            <td>1.2E8</td>
                            <td>low</td>
                                                            <td>1049.2839515062724</td>
                                                        <td>8169.856983908743</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                            <td>1.2E8</td>
                            <td>high</td>
                                                            <td>1070.2262503853617</td>
                                                        <td>9459.543016091262</td>
                        </tr>
                                            <tr>
                            <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                            <td>2.0E8</td>
                            <td>mean</td>
                                                            <td>1086.581462478776</td>
                                                        <td>10913.5</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                            <td>2.0E8</td>
                            <td>std dev</td>
                                                            <td>14.479774664948943</td>
                                                        <td>1664.8889800192308</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                            <td>2.0E8</td>
                            <td>low</td>
                                                            <td>1079.8047193338657</td>
                                                        <td>10134.307972261233</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                            <td>2.0E8</td>
                            <td>high</td>
                                                            <td>1093.3582056236864</td>
                                                        <td>11692.692027738767</td>
                        </tr>
                                            <tr>
                            <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                            <td>8.0E8</td>
                            <td>mean</td>
                                                            <td>1137.5875558012096</td>
                                                        <td>26073.9</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                            <td>8.0E8</td>
                            <td>std dev</td>
                                                            <td>11.36708706705629</td>
                                                        <td>4171.606403949646</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                            <td>8.0E8</td>
                            <td>low</td>
                                                            <td>1132.2675952947977</td>
                                                        <td>24121.528105037967</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                            <td>8.0E8</td>
                            <td>high</td>
                                                            <td>1142.9075163076216</td>
                                                        <td>28026.271894962036</td>
                        </tr>
                                            <tr>
                            <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                            <td>2.0E8</td>
                            <td>mean</td>
                                                            <td>1083.7522145179823</td>
                                                        <td>10777.0</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                            <td>2.0E8</td>
                            <td>std dev</td>
                                                            <td>12.953113394045873</td>
                                                        <td>1712.4821013279004</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                            <td>2.0E8</td>
                            <td>low</td>
                                                            <td>1077.689970841578</td>
                                                        <td>9975.533705842285</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                            <td>2.0E8</td>
                            <td>high</td>
                                                            <td>1089.8144581943866</td>
                                                        <td>11578.466294157715</td>
                        </tr>
                                            <tr>
                            <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                            <td>8.0E8</td>
                            <td>mean</td>
                                                            <td>1120.4657803100074</td>
                                                        <td>25063.7</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                            <td>8.0E8</td>
                            <td>std dev</td>
                                                            <td>15.469481690704425</td>
                                                        <td>3886.7786296352765</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                            <td>8.0E8</td>
                            <td>low</td>
                                                            <td>1113.2258400189085</td>
                                                        <td>23244.63160676561</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</td>
                            <td>8.0E8</td>
                            <td>high</td>
                                                            <td>1127.7057206011063</td>
                                                        <td>26882.76839323439</td>
                        </tr>
                                            <tr>
                            <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                            <td>4.0E8</td>
                            <td>mean</td>
                                                            <td>1103.4506774354202</td>
                                                        <td>16135.850000000002</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                            <td>4.0E8</td>
                            <td>std dev</td>
                                                            <td>14.687260884575918</td>
                                                        <td>2534.811490447616</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                            <td>4.0E8</td>
                            <td>low</td>
                                                            <td>1096.5768277505908</td>
                                                        <td>14949.521704911765</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                            <td>4.0E8</td>
                            <td>high</td>
                                                            <td>1110.3245271202495</td>
                                                        <td>17322.178295088237</td>
                        </tr>
                                            <tr>
                            <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                            <td>1.0E8</td>
                            <td>mean</td>
                                                            <td>1048.57334879122</td>
                                                        <td>8209.200000000003</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                            <td>1.0E8</td>
                            <td>std dev</td>
                                                            <td>20.338380364408213</td>
                                                        <td>1038.364027030781</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                            <td>1.0E8</td>
                            <td>low</td>
                                                            <td>1039.054693777429</td>
                                                        <td>7723.230676241393</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.ClaransTest</td>
                            <td>1.0E8</td>
                            <td>high</td>
                                                            <td>1058.092003805011</td>
                                                        <td>8695.169323758611</td>
                        </tr>
                                            <tr>
                            <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                            <td>1.2E8</td>
                            <td>mean</td>
                                                            <td>1064.0258168068406</td>
                                                        <td>8946.200000000003</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                            <td>1.2E8</td>
                            <td>std dev</td>
                                                            <td>26.297092751021793</td>
                                                        <td>1560.3209049153295</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                            <td>1.2E8</td>
                            <td>low</td>
                                                            <td>1051.7183985524016</td>
                                                        <td>8215.94733786146</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.synthetic.HeuristicTest</td>
                            <td>1.2E8</td>
                            <td>high</td>
                                                            <td>1076.3332350612795</td>
                                                        <td>9676.452662138545</td>
                        </tr>
                                    </table>
            </div>

            <p class="hidden-print">
                <a class="" data-toggle="collapse" href="#similarity">
                    Show/hide similarity
                </a>
            </p>

            <div class="collapse in" id="similarity">
                <h2>Test similarity</h2>
                <p><a href=\"https://en.wikipedia.org/wiki/Student's_t-test\">Student's
                        t-test</a>: values above 0.95 indicate both tests produce the
                    same average value.</p>

                <!-- For each parameter value -->
                                    <h3>Parameter value = 2.0E8</h3>

                                            <h4>r0</h4>
                        <table class='table table-condensed table-bordered'>
                            <tr>
                                <th></th>
                                                                    <th>spark.kmedoids.eval.synthetic.ClaransTest</th>
                                                                    <th>spark.kmedoids.eval.synthetic.HeuristicTest</th>
                                                                    <th>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</th>
                                                            </tr>

                                                            <tr>
                                    <th>spark.kmedoids.eval.synthetic.ClaransTest</th>
                                                                            <td>1.0</td>
                                                                            <td>0.0035912175479674625</td>
                                                                            <td>0.01225531348108383</td>
                                                                    </tr>
                                                            <tr>
                                    <th>spark.kmedoids.eval.synthetic.HeuristicTest</th>
                                                                            <td>0.0035912175479674625</td>
                                                                            <td>1.0</td>
                                                                            <td>0.5188425369077097</td>
                                                                    </tr>
                                                            <tr>
                                    <th>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</th>
                                                                            <td>0.01225531348108383</td>
                                                                            <td>0.5188425369077097</td>
                                                                            <td>1.0</td>
                                                                    </tr>
                                                    </table>
                                                        <h3>Parameter value = 4.0E8</h3>

                                            <h4>r0</h4>
                        <table class='table table-condensed table-bordered'>
                            <tr>
                                <th></th>
                                                                    <th>spark.kmedoids.eval.synthetic.ClaransTest</th>
                                                                    <th>spark.kmedoids.eval.synthetic.HeuristicTest</th>
                                                                    <th>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</th>
                                                            </tr>

                                                            <tr>
                                    <th>spark.kmedoids.eval.synthetic.ClaransTest</th>
                                                                            <td>1.0</td>
                                                                            <td>0.01948052627156902</td>
                                                                            <td>0.7031583914105919</td>
                                                                    </tr>
                                                            <tr>
                                    <th>spark.kmedoids.eval.synthetic.HeuristicTest</th>
                                                                            <td>0.01948052627156902</td>
                                                                            <td>1.0</td>
                                                                            <td>0.100421665079222</td>
                                                                    </tr>
                                                            <tr>
                                    <th>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</th>
                                                                            <td>0.7031583914105919</td>
                                                                            <td>0.100421665079222</td>
                                                                            <td>1.0</td>
                                                                    </tr>
                                                    </table>
                                                        <h3>Parameter value = 6.0E8</h3>

                                            <h4>r0</h4>
                        <table class='table table-condensed table-bordered'>
                            <tr>
                                <th></th>
                                                                    <th>spark.kmedoids.eval.synthetic.ClaransTest</th>
                                                                    <th>spark.kmedoids.eval.synthetic.HeuristicTest</th>
                                                                    <th>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</th>
                                                            </tr>

                                                            <tr>
                                    <th>spark.kmedoids.eval.synthetic.ClaransTest</th>
                                                                            <td>1.0</td>
                                                                            <td>0.001561135251117382</td>
                                                                            <td>0.6286871651621491</td>
                                                                    </tr>
                                                            <tr>
                                    <th>spark.kmedoids.eval.synthetic.HeuristicTest</th>
                                                                            <td>0.001561135251117382</td>
                                                                            <td>1.0</td>
                                                                            <td>0.0012065362441935283</td>
                                                                    </tr>
                                                            <tr>
                                    <th>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</th>
                                                                            <td>0.6286871651621491</td>
                                                                            <td>0.0012065362441935283</td>
                                                                            <td>1.0</td>
                                                                    </tr>
                                                    </table>
                                                        <h3>Parameter value = 8.0E8</h3>

                                            <h4>r0</h4>
                        <table class='table table-condensed table-bordered'>
                            <tr>
                                <th></th>
                                                                    <th>spark.kmedoids.eval.synthetic.ClaransTest</th>
                                                                    <th>spark.kmedoids.eval.synthetic.HeuristicTest</th>
                                                                    <th>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</th>
                                                            </tr>

                                                            <tr>
                                    <th>spark.kmedoids.eval.synthetic.ClaransTest</th>
                                                                            <td>1.0</td>
                                                                            <td>1.234995572436555E-7</td>
                                                                            <td>0.1877071966685343</td>
                                                                    </tr>
                                                            <tr>
                                    <th>spark.kmedoids.eval.synthetic.HeuristicTest</th>
                                                                            <td>1.234995572436555E-7</td>
                                                                            <td>1.0</td>
                                                                            <td>3.238387701518987E-4</td>
                                                                    </tr>
                                                            <tr>
                                    <th>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</th>
                                                                            <td>0.1877071966685343</td>
                                                                            <td>3.238387701518987E-4</td>
                                                                            <td>1.0</td>
                                                                    </tr>
                                                    </table>
                                                        <h3>Parameter value = 1.0E8</h3>

                                            <h4>r0</h4>
                        <table class='table table-condensed table-bordered'>
                            <tr>
                                <th></th>
                                                                    <th>spark.kmedoids.eval.synthetic.ClaransTest</th>
                                                                    <th>spark.kmedoids.eval.synthetic.HeuristicTest</th>
                                                                    <th>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</th>
                                                            </tr>

                                                            <tr>
                                    <th>spark.kmedoids.eval.synthetic.ClaransTest</th>
                                                                            <td>1.0</td>
                                                                            <td>0.015352966091658737</td>
                                                                            <td>0.625623716384848</td>
                                                                    </tr>
                                                            <tr>
                                    <th>spark.kmedoids.eval.synthetic.HeuristicTest</th>
                                                                            <td>0.015352966091658737</td>
                                                                            <td>1.0</td>
                                                                            <td>0.05433563896503652</td>
                                                                    </tr>
                                                            <tr>
                                    <th>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</th>
                                                                            <td>0.625623716384848</td>
                                                                            <td>0.05433563896503652</td>
                                                                            <td>1.0</td>
                                                                    </tr>
                                                    </table>
                                                        <h3>Parameter value = 1.2E8</h3>

                                            <h4>r0</h4>
                        <table class='table table-condensed table-bordered'>
                            <tr>
                                <th></th>
                                                                    <th>spark.kmedoids.eval.synthetic.ClaransTest</th>
                                                                    <th>spark.kmedoids.eval.synthetic.HeuristicTest</th>
                                                                    <th>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</th>
                                                            </tr>

                                                            <tr>
                                    <th>spark.kmedoids.eval.synthetic.ClaransTest</th>
                                                                            <td>1.0</td>
                                                                            <td>0.5834713021099396</td>
                                                                            <td>0.6517610793620108</td>
                                                                    </tr>
                                                            <tr>
                                    <th>spark.kmedoids.eval.synthetic.HeuristicTest</th>
                                                                            <td>0.5834713021099396</td>
                                                                            <td>1.0</td>
                                                                            <td>0.8415933277222686</td>
                                                                    </tr>
                                                            <tr>
                                    <th>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</th>
                                                                            <td>0.6517610793620108</td>
                                                                            <td>0.8415933277222686</td>
                                                                            <td>1.0</td>
                                                                    </tr>
                                                    </table>
                                                </div>

            <p class="hidden-print">
                <a class="" data-toggle="collapse" href="#sources">
                    Show/hide sources
                </a>
            </p>
            <div class="collapse in" id="sources">
                <h2>Sources</h2>
                                    <h3>spark.kmedoids.eval.synthetic.ClaransTest</h3>
                    <pre>
                    </pre>
                                    <h3>spark.kmedoids.eval.synthetic.HeuristicTest</h3>
                    <pre>
                    </pre>
                                    <h3>spark.kmedoids.eval.synthetic.SimulatedAnnealingTest</h3>
                    <pre>
                    </pre>
                            </div>

            <h2>Classpath</h2>
            <ul>
                                    <li>/opt/spark/conf/</li>
                                        <li>/opt/spark/jars/hadoop-hdfs-2.6.4.jar</li>
                                        <li>/opt/spark/jars/hadoop-auth-2.6.4.jar</li>
                                        <li>/opt/spark/jars/java-xmlbuilder-1.0.jar</li>
                                        <li>/opt/spark/jars/jackson-databind-2.6.5.jar</li>
                                        <li>/opt/spark/jars/hadoop-mapreduce-client-common-2.6.4.jar</li>
                                        <li>/opt/spark/jars/stream-2.7.0.jar</li>
                                        <li>/opt/spark/jars/RoaringBitmap-0.5.11.jar</li>
                                        <li>/opt/spark/jars/jackson-annotations-2.6.5.jar</li>
                                        <li>/opt/spark/jars/hadoop-yarn-api-2.6.4.jar</li>
                                        <li>/opt/spark/jars/commons-crypto-1.0.0.jar</li>
                                        <li>/opt/spark/jars/commons-digester-1.8.jar</li>
                                        <li>/opt/spark/jars/spark-sql_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/joda-time-2.9.3.jar</li>
                                        <li>/opt/spark/jars/commons-beanutils-core-1.8.0.jar</li>
                                        <li>/opt/spark/jars/scala-parser-combinators_2.11-1.0.4.jar</li>
                                        <li>/opt/spark/jars/pyrolite-4.13.jar</li>
                                        <li>/opt/spark/jars/libthrift-0.9.2.jar</li>
                                        <li>/opt/spark/jars/api-util-1.0.0-M20.jar</li>
                                        <li>/opt/spark/jars/javassist-3.18.1-GA.jar</li>
                                        <li>/opt/spark/jars/stringtemplate-3.2.1.jar</li>
                                        <li>/opt/spark/jars/hk2-api-2.4.0-b34.jar</li>
                                        <li>/opt/spark/jars/javax.ws.rs-api-2.0.1.jar</li>
                                        <li>/opt/spark/jars/spark-catalyst_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/pmml-model-1.2.15.jar</li>
                                        <li>/opt/spark/jars/jersey-server-2.22.2.jar</li>
                                        <li>/opt/spark/jars/guice-servlet-3.0.jar</li>
                                        <li>/opt/spark/jars/ivy-2.4.0.jar</li>
                                        <li>/opt/spark/jars/mail-1.4.7.jar</li>
                                        <li>/opt/spark/jars/curator-recipes-2.6.0.jar</li>
                                        <li>/opt/spark/jars/hadoop-client-2.6.4.jar</li>
                                        <li>/opt/spark/jars/json4s-jackson_2.11-3.2.11.jar</li>
                                        <li>/opt/spark/jars/gson-2.2.4.jar</li>
                                        <li>/opt/spark/jars/validation-api-1.1.0.Final.jar</li>
                                        <li>/opt/spark/jars/scalap-2.11.8.jar</li>
                                        <li>/opt/spark/jars/jersey-guava-2.22.2.jar</li>
                                        <li>/opt/spark/jars/activation-1.1.1.jar</li>
                                        <li>/opt/spark/jars/jetty-util-6.1.26.jar</li>
                                        <li>/opt/spark/jars/spark-repl_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/slf4j-api-1.7.16.jar</li>
                                        <li>/opt/spark/jars/javolution-5.5.1.jar</li>
                                        <li>/opt/spark/jars/metrics-jvm-3.1.2.jar</li>
                                        <li>/opt/spark/jars/base64-2.3.8.jar</li>
                                        <li>/opt/spark/jars/janino-3.0.0.jar</li>
                                        <li>/opt/spark/jars/parquet-hadoop-1.8.1.jar</li>
                                        <li>/opt/spark/jars/scala-compiler-2.11.8.jar</li>
                                        <li>/opt/spark/jars/parquet-hadoop-bundle-1.6.0.jar</li>
                                        <li>/opt/spark/jars/scala-xml_2.11-1.0.2.jar</li>
                                        <li>/opt/spark/jars/snappy-java-1.1.2.6.jar</li>
                                        <li>/opt/spark/jars/json4s-core_2.11-3.2.11.jar</li>
                                        <li>/opt/spark/jars/spark-tags_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/libfb303-0.9.2.jar</li>
                                        <li>/opt/spark/jars/stax-api-1.0.1.jar</li>
                                        <li>/opt/spark/jars/spire-macros_2.11-0.7.4.jar</li>
                                        <li>/opt/spark/jars/aopalliance-repackaged-2.4.0-b34.jar</li>
                                        <li>/opt/spark/jars/JavaEWAH-0.3.2.jar</li>
                                        <li>/opt/spark/jars/commons-net-2.2.jar</li>
                                        <li>/opt/spark/jars/calcite-core-1.2.0-incubating.jar</li>
                                        <li>/opt/spark/jars/commons-io-2.4.jar</li>
                                        <li>/opt/spark/jars/log4j-1.2.17.jar</li>
                                        <li>/opt/spark/jars/jersey-container-servlet-2.22.2.jar</li>
                                        <li>/opt/spark/jars/xbean-asm5-shaded-4.4.jar</li>
                                        <li>/opt/spark/jars/mesos-1.0.0-shaded-protobuf.jar</li>
                                        <li>/opt/spark/jars/jta-1.1.jar</li>
                                        <li>/opt/spark/jars/commons-configuration-1.6.jar</li>
                                        <li>/opt/spark/jars/netty-3.8.0.Final.jar</li>
                                        <li>/opt/spark/jars/zookeeper-3.4.6.jar</li>
                                        <li>/opt/spark/jars/jersey-media-jaxb-2.22.2.jar</li>
                                        <li>/opt/spark/jars/xmlenc-0.52.jar</li>
                                        <li>/opt/spark/jars/jsr305-1.3.9.jar</li>
                                        <li>/opt/spark/jars/jackson-module-paranamer-2.6.5.jar</li>
                                        <li>/opt/spark/jars/commons-lang3-3.5.jar</li>
                                        <li>/opt/spark/jars/spark-hive-thriftserver_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/hadoop-annotations-2.6.4.jar</li>
                                        <li>/opt/spark/jars/super-csv-2.2.0.jar</li>
                                        <li>/opt/spark/jars/jersey-client-2.22.2.jar</li>
                                        <li>/opt/spark/jars/jaxb-api-2.2.2.jar</li>
                                        <li>/opt/spark/jars/javax.servlet-api-3.1.0.jar</li>
                                        <li>/opt/spark/jars/spark-mllib_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/spark-network-common_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/jackson-module-scala_2.11-2.6.5.jar</li>
                                        <li>/opt/spark/jars/netty-all-4.0.42.Final.jar</li>
                                        <li>/opt/spark/jars/curator-client-2.6.0.jar</li>
                                        <li>/opt/spark/jars/spark-mllib-local_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/javax.annotation-api-1.2.jar</li>
                                        <li>/opt/spark/jars/hadoop-mapreduce-client-app-2.6.4.jar</li>
                                        <li>/opt/spark/jars/jersey-container-servlet-core-2.22.2.jar</li>
                                        <li>/opt/spark/jars/jackson-core-asl-1.9.13.jar</li>
                                        <li>/opt/spark/jars/parquet-encoding-1.8.1.jar</li>
                                        <li>/opt/spark/jars/breeze-macros_2.11-0.12.jar</li>
                                        <li>/opt/spark/jars/protobuf-java-2.5.0.jar</li>
                                        <li>/opt/spark/jars/osgi-resource-locator-1.0.1.jar</li>
                                        <li>/opt/spark/jars/bcprov-jdk15on-1.51.jar</li>
                                        <li>/opt/spark/jars/slf4j-log4j12-1.7.16.jar</li>
                                        <li>/opt/spark/jars/opencsv-2.3.jar</li>
                                        <li>/opt/spark/jars/httpcore-4.4.4.jar</li>
                                        <li>/opt/spark/jars/apacheds-kerberos-codec-2.0.0-M15.jar</li>
                                        <li>/opt/spark/jars/jpam-1.1.jar</li>
                                        <li>/opt/spark/jars/snappy-0.2.jar</li>
                                        <li>/opt/spark/jars/hadoop-mapreduce-client-shuffle-2.6.4.jar</li>
                                        <li>/opt/spark/jars/javax.inject-1.jar</li>
                                        <li>/opt/spark/jars/commons-collections-3.2.2.jar</li>
                                        <li>/opt/spark/jars/minlog-1.3.0.jar</li>
                                        <li>/opt/spark/jars/hive-beeline-1.2.1.spark2.jar</li>
                                        <li>/opt/spark/jars/hive-cli-1.2.1.spark2.jar</li>
                                        <li>/opt/spark/jars/compress-lzf-1.0.3.jar</li>
                                        <li>/opt/spark/jars/parquet-common-1.8.1.jar</li>
                                        <li>/opt/spark/jars/hk2-utils-2.4.0-b34.jar</li>
                                        <li>/opt/spark/jars/stax-api-1.0-2.jar</li>
                                        <li>/opt/spark/jars/guice-3.0.jar</li>
                                        <li>/opt/spark/jars/hive-exec-1.2.1.spark2.jar</li>
                                        <li>/opt/spark/jars/jackson-core-2.6.5.jar</li>
                                        <li>/opt/spark/jars/eigenbase-properties-1.1.5.jar</li>
                                        <li>/opt/spark/jars/hadoop-yarn-server-common-2.6.4.jar</li>
                                        <li>/opt/spark/jars/guava-14.0.1.jar</li>
                                        <li>/opt/spark/jars/univocity-parsers-2.2.1.jar</li>
                                        <li>/opt/spark/jars/bonecp-0.8.0.RELEASE.jar</li>
                                        <li>/opt/spark/jars/spark-graphx_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/commons-cli-1.2.jar</li>
                                        <li>/opt/spark/jars/jodd-core-3.5.2.jar</li>
                                        <li>/opt/spark/jars/jul-to-slf4j-1.7.16.jar</li>
                                        <li>/opt/spark/jars/scala-library-2.11.8.jar</li>
                                        <li>/opt/spark/jars/chill_2.11-0.8.0.jar</li>
                                        <li>/opt/spark/jars/metrics-core-3.1.2.jar</li>
                                        <li>/opt/spark/jars/avro-ipc-1.7.7.jar</li>
                                        <li>/opt/spark/jars/jets3t-0.9.3.jar</li>
                                        <li>/opt/spark/jars/spark-sketch_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/core-1.1.2.jar</li>
                                        <li>/opt/spark/jars/metrics-graphite-3.1.2.jar</li>
                                        <li>/opt/spark/jars/datanucleus-rdbms-3.2.9.jar</li>
                                        <li>/opt/spark/jars/commons-dbcp-1.4.jar</li>
                                        <li>/opt/spark/jars/kryo-shaded-3.0.3.jar</li>
                                        <li>/opt/spark/jars/spark-unsafe_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/hadoop-common-2.6.4.jar</li>
                                        <li>/opt/spark/jars/paranamer-2.3.jar</li>
                                        <li>/opt/spark/jars/apache-log4j-extras-1.2.17.jar</li>
                                        <li>/opt/spark/jars/httpclient-4.5.2.jar</li>
                                        <li>/opt/spark/jars/commons-compiler-3.0.0.jar</li>
                                        <li>/opt/spark/jars/calcite-linq4j-1.2.0-incubating.jar</li>
                                        <li>/opt/spark/jars/jackson-mapper-asl-1.9.13.jar</li>
                                        <li>/opt/spark/jars/jdo-api-3.0.1.jar</li>
                                        <li>/opt/spark/jars/parquet-column-1.8.1.jar</li>
                                        <li>/opt/spark/jars/datanucleus-core-3.2.10.jar</li>
                                        <li>/opt/spark/jars/pmml-schema-1.2.15.jar</li>
                                        <li>/opt/spark/jars/arpack_combined_all-0.1.jar</li>
                                        <li>/opt/spark/jars/jtransforms-2.4.0.jar</li>
                                        <li>/opt/spark/jars/parquet-jackson-1.8.1.jar</li>
                                        <li>/opt/spark/jars/jline-2.12.1.jar</li>
                                        <li>/opt/spark/jars/avro-mapred-1.7.7-hadoop2.jar</li>
                                        <li>/opt/spark/jars/commons-math3-3.4.1.jar</li>
                                        <li>/opt/spark/jars/spark-hive_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/jersey-common-2.22.2.jar</li>
                                        <li>/opt/spark/jars/derby-10.12.1.1.jar</li>
                                        <li>/opt/spark/jars/parquet-format-2.3.0-incubating.jar</li>
                                        <li>/opt/spark/jars/spark-streaming_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/htrace-core-3.0.4.jar</li>
                                        <li>/opt/spark/jars/commons-beanutils-1.7.0.jar</li>
                                        <li>/opt/spark/jars/antlr4-runtime-4.5.3.jar</li>
                                        <li>/opt/spark/jars/hadoop-yarn-server-web-proxy-2.6.4.jar</li>
                                        <li>/opt/spark/jars/hadoop-mapreduce-client-core-2.6.4.jar</li>
                                        <li>/opt/spark/jars/hive-metastore-1.2.1.spark2.jar</li>
                                        <li>/opt/spark/jars/chill-java-0.8.0.jar</li>
                                        <li>/opt/spark/jars/spark-launcher_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/xercesImpl-2.9.1.jar</li>
                                        <li>/opt/spark/jars/spark-network-shuffle_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/commons-codec-1.10.jar</li>
                                        <li>/opt/spark/jars/json4s-ast_2.11-3.2.11.jar</li>
                                        <li>/opt/spark/jars/oro-2.0.8.jar</li>
                                        <li>/opt/spark/jars/ST4-4.0.4.jar</li>
                                        <li>/opt/spark/jars/aopalliance-1.0.jar</li>
                                        <li>/opt/spark/jars/shapeless_2.11-2.0.0.jar</li>
                                        <li>/opt/spark/jars/hadoop-yarn-client-2.6.4.jar</li>
                                        <li>/opt/spark/jars/calcite-avatica-1.2.0-incubating.jar</li>
                                        <li>/opt/spark/jars/javax.inject-2.4.0-b34.jar</li>
                                        <li>/opt/spark/jars/apacheds-i18n-2.0.0-M15.jar</li>
                                        <li>/opt/spark/jars/antlr-runtime-3.4.jar</li>
                                        <li>/opt/spark/jars/spark-mesos_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/py4j-0.10.4.jar</li>
                                        <li>/opt/spark/jars/spark-core_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/hive-jdbc-1.2.1.spark2.jar</li>
                                        <li>/opt/spark/jars/jetty-6.1.26.jar</li>
                                        <li>/opt/spark/jars/scala-reflect-2.11.8.jar</li>
                                        <li>/opt/spark/jars/spire_2.11-0.7.4.jar</li>
                                        <li>/opt/spark/jars/jackson-xc-1.9.13.jar</li>
                                        <li>/opt/spark/jars/commons-compress-1.4.1.jar</li>
                                        <li>/opt/spark/jars/jcl-over-slf4j-1.7.16.jar</li>
                                        <li>/opt/spark/jars/commons-lang-2.6.jar</li>
                                        <li>/opt/spark/jars/breeze_2.11-0.12.jar</li>
                                        <li>/opt/spark/jars/antlr-2.7.7.jar</li>
                                        <li>/opt/spark/jars/avro-1.7.7.jar</li>
                                        <li>/opt/spark/jars/jackson-jaxrs-1.9.13.jar</li>
                                        <li>/opt/spark/jars/hadoop-yarn-common-2.6.4.jar</li>
                                        <li>/opt/spark/jars/xz-1.0.jar</li>
                                        <li>/opt/spark/jars/spark-yarn_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/api-asn1-api-1.0.0-M20.jar</li>
                                        <li>/opt/spark/jars/commons-httpclient-3.1.jar</li>
                                        <li>/opt/spark/jars/hk2-locator-2.4.0-b34.jar</li>
                                        <li>/opt/spark/jars/hadoop-mapreduce-client-jobclient-2.6.4.jar</li>
                                        <li>/opt/spark/jars/datanucleus-api-jdo-3.2.6.jar</li>
                                        <li>/opt/spark/jars/commons-logging-1.1.3.jar</li>
                                        <li>/opt/spark/jars/objenesis-2.1.jar</li>
                                        <li>/opt/spark/jars/curator-framework-2.6.0.jar</li>
                                        <li>/opt/spark/jars/metrics-json-3.1.2.jar</li>
                                        <li>/opt/spark/jars/commons-pool-1.5.4.jar</li>
                                        <li>/opt/spark/jars/mx4j-3.0.2.jar</li>
                                        <li>/opt/spark/jars/leveldbjni-all-1.8.jar</li>
                                        <li>/opt/spark/jars/lz4-1.3.0.jar</li>
                                        <li>/opt/hadoop/etc/hadoop/</li>
                                </ul>
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